Mapping the nesting habitats of saltwater crocodiles (Crocodylus porosus) in Melacca Swamp and the Adelaide River wetlands, Northern Territory: an approach using remote sensing and GIS

2003 ◽  
Vol 30 (4) ◽  
pp. 365 ◽  
Author(s):  
Kylie R. Harvey ◽  
Greg J. E. Hill
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Aerial Photography ◽  
Spatial Information ◽  
Vegetation Type ◽  
Northern Territory ◽  
Remote Sensing And Gis ◽  
Geographical Information ◽  
Nesting Habitat ◽  
Crocodylus Porosus

The utility of integrating remotely sensed data and other spatial information in a geographical information system (GIS) to model habitat suitability for nesting by saltwater crocodiles (Crocodylus porosus) was investigated in this study. The study areas, Melacca Swamp and the Adelaide River wetlands, are located 50 km east of Darwin, Northern Territory, and encompass areas of suitable nesting habitat for C. porosus. Melacca Swamp is a highly productive nesting area and is managed as a conservation reserve to protect its nesting habitat. Landsat TM, SPOT satellite imagery and large-scale colour aerial photography were evaluated for their utility in mapping habitats preferred for nesting by C. porosus within Melacca Swamp. Satellite imagery was capable of identifying generalised habitat classes used for nesting (e.g. open swamp with emergent trees). However, it was only with aerial photography that habitats could be discerned (e.g. sedges with scattered Melaleuca trees). Spatial information derived from satellite imagery and other sources was integrated in a GIS to model potentially suitable nesting habitat along the Adelaide River. This methodology effectively identified known preferred nesting areas of C. porosus on the basis of the analysis of environmental parameters (i.e. distance to water, vegetation type) that have an influence on selection of nesting habitat. The findings of this research demonstrate the utility of remote sensing and GIS for mapping nesting habitat of C. porosus at a range of scales and provide guidelines for application of the approaches used at the regional or State level.

The Spatial and Temporal Distribution of Lightning Strikes and Their Relationship with Vegetation Type, Elevation, and Fire Scars in the Northern Territory

2007 ◽  
Vol 20 (7) ◽  
pp. 1161-1173 ◽  
Author(s):  
Musa Kilinc ◽  
Jason Beringer
Keyword(s):  
Large Scale ◽  
Vegetation Type ◽  
Northern Region ◽  
Northern Territory ◽  
Southern Region ◽  
Transitional Period ◽  
Geographical Information ◽  
Coastal Regions ◽  
Fire Scars ◽  
Lightning Strikes

Abstract In this paper the authors explore the spatial and temporal patterns of lightning strikes in northern Australia for the first time. In particular, the possible relationships between lightning strikes and elevation, vegetation type, and fire scars (burned areas) are examined. Lightning data provided by the Bureau of Meteorology were analyzed for a 6-yr period (1998–2003) over the northern, southern, and coastal regions of the Northern Territory (NT) through the use of Geographical Information Systems (GIS) to determine the spatial and temporal characteristics of lightning strikes. It was determined that the highest densities of lightning strikes occurred during the monsoon transitional period (dry to wet) and during the active monsoon periods, when atmospheric moisture is highest. For the period of this study, lightning was far more prevalent over the northern region (1.21 strikes per km2 yr−1) than over the southern (0.58 strikes per km2 yr−1) and coastal regions (0.71 strikes per km2 yr−1). Differences in vegetation cover were suggested to influence the lightning distribution over the northern region of the NT, but no relationship was found in the southern region. Lightning strikes in the southern region showed a positive relationship with elevations above 800 m, but no relationship was found in the northern region, which could be due to the low-lying topography of the area. A comparison of lightning densities between burned and unburned areas showed high variability; however, the authors suggest that, under ideal atmospheric conditions, large-scale fire scars (>500 m) could produce lightning strikes triggered by either enhanced free convection or mesoscale circulations.

scholarly journals Using Remote Sensing Techniques in Environmental Management

2016 ◽  
Vol 73 (2) ◽  
pp. 230
Author(s):  
Mihai Valentin Herbei ◽  
Roxana Herbei ◽  
Laura Smuleac ◽  
Tudor Salagean
Keyword(s):  
Remote Sensing ◽  
Environmental Management ◽  
Information System ◽  
Geographical Information System ◽  
Geographical Information Systems ◽  
Spatial Information ◽  
Modern Technology ◽  
Geographical Information ◽  
Remote Sensing Techniques ◽  
Modern Solution

The Geographical Information Systems technology is used in many fields where the spatial information is very important and relevant, that means in all fields that use a system for saving, analyzing and representing the data which are processed. The aim of this paper is using modern technology for monitoring the environment. Geographical Information System together with remote sensing have a very important role in decision process regarding the environment. Integration of remote sensing images in a Geographical Information System which enables complex spatial analysis is a useful and modern solution for environmental management and decision-making process. Satellite images contain various information that can support environmental monitoring, images that can be analyzed and interpreted in various ways by using the Geographical Information System tools.

scholarly journals Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Sunmin Lee ◽  
Sung-Hwan Park ◽  
Moung-Jin Lee ◽  
Taejung Song
Keyword(s):  
Remote Sensing ◽  
South Korea ◽  
North Korea ◽  
Spatial Information ◽  
Remote Sensing And Gis ◽  
Geospatial Information ◽  
Radar Images ◽  
Database Construction ◽  
The Social

The social and economic harm to North Korea caused by water-related disasters is increasing with the increase in the disasters worldwide. Despite the improvement of inter-Korean relations in recent years, the issue of water-related disasters, which can directly affect the lives of people, has not been discussed. With consideration of inter-Korean relations, a government-wide technical plan should be established to reduce the damage caused by water-related disasters. Therefore, the purpose of this study was to identify remote sensing and GIS techniques that could be useful in reducing the damage caused by water-related disasters while considering inter-Korean relations and the disasters that occur in North Korea. To this end, based on the definitions of disasters in South and North Korea, water-related disasters that occurred during a 17-year period from 2001 to 2017 in North Korea were first summarized and reclassified into six types: typhoons, downpours, floods, landslides, heavy snowfalls, and droughts. In addition, remote sensing- and GIS-based techniques in South Korea that could be applied to water-related disasters in North Korea were investigated and reclassified according to applicability to the six disaster types. The results showed that remote sensing and other monitoring techniques using spatial information, GIS-based database construction, and integrated water-related disaster management have high priorities. Especially, the use of radar images, such as C band images, has proven essential. Moreover, case studies were analyzed within remote sensing- and GIS-based techniques that could be applicable to the water-related disasters that occur frequently in North Korea. Water disaster satellites with high-resolution C band synthetic aperture radar are scheduled to be launched by South Korea. These results provide basic data to support techniques and establish countermeasures to reduce the damage from water-related disasters in North Korea in the medium to long term.

Remote Sensing Techniques in Civil Engineering Surveys

1986 ◽  
Vol 2 (1) ◽  
pp. 119-124
Author(s):  
E. M. Amos ◽  
D. Blakeway ◽  
C. D. Warren
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Aerial Photography ◽  
Civil Engineering ◽  
Thermal Infrared ◽  
Infrared Photography ◽  
Black And White ◽  
Remote Sensing Techniques ◽  
Landsat Satellite ◽  
False Colour

AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.

scholarly journals Remote sensing and GIS application for river runoff and water quality modeling in a hilly forested watershed of Japan

2010 ◽  
Vol 13 (2) ◽  
pp. 198-216 ◽  
Author(s):  
Binaya R. Shivakoti ◽  
Shigeo Fujii ◽  
Shuhei Tanaka ◽  
Hirotaka Ihara ◽  
Masashi Moriya
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Cover ◽  
Spatial Information ◽  
Remote Sensing And Gis ◽  
Water Quality Modeling ◽  
Model Verification ◽  
Modeling Framework ◽  
Area Index ◽  
Distributed Modeling

The main objective of this study is to present a simplified distributed modeling framework based on the storage balance concept of a Tank Model and by utilizing inputs from remote sensing data and GIS analysis. The modeling process is simplified by (1) minimizing the number of parameters with unknown values and 2) retaining important characteristics (such as land cover, topography, geology) of the study area in order to account for spatial variability. Remote sensing is used as a main source of distributed data and the GIS environment is used to integrate spatial information into the model. Remote sensing is utilized mainly to derive land cover, leaf area index (Lai) and transpiration coefficient (Tc). Topographic variables such as slope, drainage direction and soil topographic index (Tindex) are derived from a digital elevation model (DEM) using GIS. The model is used to estimate evapotranspiration (Et) loss, river flow rate and selected water quality parameters (CODMn and TP). Model verification adopted a comparison of estimated results with observed data collected at different temporal scales (storm events, daily, alternate days and every 10 days). A simplified distributed modeling framework coupled with remote sensing and GIS is expected to be an alternative to complex distributed modeling processes, which required values of parameters usually unavailable at a grid scale.

scholarly journals Pemetaan Kawasan Lahan Pertanian Pangan Berkelanjutan di Kuta Utara dan Mengwi Berbasis Penginderaan Jauh dan Sistem Informasi Geografis

2021 ◽  
Vol 11 (2) ◽  
pp. 176
Author(s):  
KARTIKA DEWI OKTAFIANTI ◽  
INDAYATI LANYA ◽  
NI MADE TRIGUNASIH
Keyword(s):  
Remote Sensing ◽  
Agricultural Land ◽  
Field Survey ◽  
Spatial Information ◽  
Image Interpretation ◽  
Rice Fields ◽  
Geographical Information ◽  
Sustainable Food ◽  
Physical Conditions

Mapping of Sustainable Food Agricultural Land at North Kuta and Mengwi Districts Based on Remote Sensing and Geographical Information System. Sustainable Food Agricultural Land (LP2B) is a field of agricultural land designated to be protected and developed consistently in order to produce staple food for national food independence, resilience and sovereignty. The Badung Regency Government has determined the area and location of LP2B but it has not been accompanied by a spatial information map. This study aims to map subak rice fields in 2019 as well as mapping of LP2B based on the physical conditions of the area and the environment in North Kuta and Mengwi Districts based on remote sensing and GIS. The method used consists of image interpretation, field survey and numerical classification. The results showed that the distribution of subak rice fields in North Kuta and Mengwi Districts was 4967.22 ha. The distribution of rice fields in North Kuta District is 850.15 ha and in Mengwi District is 4117.07 ha. In the classification of LP2B areas, the recommended area is model 1 (234.88 ha), model 2 (939.76 ha) and model 3 (2048.63 ha). The recommendation areas are in model 1 (1489.91 ha), model 2 (1101.52 ha) and model 3 (2047.53 ha). The conditional recommendation area is in model 1 (2969.50 ha), model 2 (2048.49 ha) and model 3 (873.39 ha). Not recommended area in model 1 (270.81 ha), model 2 (875.33 ha) and model 3 (0 ha).

scholarly journals PREDICTION OF SARDINE FISHING GROUND AS DETERMINED BY MULTI-SENSOR REMOTE SENSING AND GIS

2010 ◽  
Vol 5 (1) ◽  
Author(s):  
Katsuya Saitoh ◽  
Sei-Ichi Saitoh
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Key Words ◽  
Remote Sensing And Gis ◽  
Geographical Information ◽  
Fishing Ground ◽  
Complex Method ◽  
Time Analysis ◽  
Before And After ◽  
Field Area

Fishing ground predictione analyzed the fishing ground environment of sardines with the complex method combining multi-sensor remote sensing and Geographical Information System (GIS), and examined methods f is now one of the keywords for a planned and efficient use of fishery resources. In this paper, wor prediction. As a result, the study showed the field area of fishing ground formation, the depth of fishing grounds, the favorable environment through time analysis before and after fishing ground formation. Also the study overlaid these results using GIS and showed prediction fishing grounds map. Key words: GIS, multi-sensor, Sardine Fishing Ground.

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